1887

Abstract

The application of flow cytometry and skew-Laplace statistical analysis to assess cellular heterogeneity in Gram-negative axenic cultures is reported. In particular, fit to the log-skew-Laplace distribution for cellular side scatter or ‘granulosity’ is reported, and a number of theoretical and applied issues are considered in relation to the biological significance of this fit.

Loading

Article metrics loading...

/content/journal/micro/10.1099/mic.0.27460-0
2005-03-01
2019-10-14
Loading full text...

Full text loading...

/deliver/fulltext/micro/151/3/mic1510749.html?itemId=/content/journal/micro/10.1099/mic.0.27460-0&mimeType=html&fmt=ahah

References

  1. Bagnold, R. A. & Barndorff-Nielsen, O. ( 1980; ). The pattern of natural size distributions. Sedimentology 27, 199–207.[CrossRef]
    [Google Scholar]
  2. Barndorff-Nielsen, O. ( 1977; ). Exponentially decreasing distributions for the logarithm of particle size. Proc R Soc Lond A 353, 401–419.[CrossRef]
    [Google Scholar]
  3. Berger, H., Hacker, J., Juarez, A., Hughes, C. & Goebel, W. ( 1982; ). Cloning of the chromosomal determinants encoding hemolysin production and mannose-resistant hemagglutination in Escherichia coli. J Bacteriol 152, 1241–1247.
    [Google Scholar]
  4. Christensen, H., Olsen, R. A. & Bakken, L. R. ( 1995; ). Flow cytometric measurements of cell volumes and DNA contents during culture of indigenous soil bacteria. Microb Ecol 29, 49–62.
    [Google Scholar]
  5. Conover, W. J. ( 1971; ). Practical Non Parametric Statistics, 2nd edn. New York: Wiley.
  6. Davey, H. M. & Kell, D. B. ( 1996; ). Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses. Microbiol Rev 60, 641–696.
    [Google Scholar]
  7. Fieller, N. R. J., Flenley, E. C. & Olbricht, W. ( 1992; ). Statistics of particle size data. Appl Stat 41, 127–146.[CrossRef]
    [Google Scholar]
  8. Julià, O., Comas, J. & Vives-Rego, J. ( 2000; ). Second-order functions are the simplest correlations between flow cytometric light scatter and bacterial diameter. J Microbiol Methods 40, 57–61.[CrossRef]
    [Google Scholar]
  9. Kaneko, K. & Yomo, T. ( 1994; ). Cell division, differentiation and dynamic clustering. Physica D 75, 89–102.[CrossRef]
    [Google Scholar]
  10. Ko, E. P., Yomo, T. & Urabe, I. ( 1994; ). Dynamic clustering of bacterial population. Physica D 75, 81–88.[CrossRef]
    [Google Scholar]
  11. Koch, A. L. ( 1987; ). The variability and individuality of the bacteria. In Escherichia coli and Salmonella typhimurium: Cellular and Molecular Biology, 2nd edn, pp. 1606–1614. Edited by F. C. Neidhardt, R. Curtiss, III, J. L. Ingraham & 7 other editors. Washington, DC: American Society for Microbiology.
  12. Koch, A. L., Robertson, B. R. & Button, D. K. ( 1996; ). Deduction of the cell volume and mass from forward scatter intensity of bacteria analyzed by flow cytometry. J Microbiol Methods 27, 49–61.[CrossRef]
    [Google Scholar]
  13. Kotz, S., Kozubowski, T. J. & Podgórski, K. ( 1998; ). The Laplace Distribution and Generalizations. Berlin: Birkhäuser.
  14. López-Amorós, R., Comas, J., Carulla, C. & Vives-Rego, J. ( 1994; ). Variations in flow cytometric forward scatter signals and cell size in batch cultures of Escherichia coli. FEMS Microbiol Lett 117, 225–229.[CrossRef]
    [Google Scholar]
  15. Robinson, J. P. ( 1999; ). Current Protocols in Cytometry. New York: Wiley.
  16. Shapiro, H. M. ( 2003; ). Practical Flow Cytometry, 4th edn, pp. 50–52. New York: Wiley.
  17. Trotter, J. ( 1999; ). WinMDI version 2.5 software (Windows Multiple Document Interface, a flow cytometry application. Build no. 05 9 March 1999. © 1993–1998 Joseph Trotter, The Scripps Research Institute, CA, USA).
  18. Vives-Rego, J., López-Amorós, R. & Comas, J. ( 1994; ). Flow cytometric narrow-angle light scatter and cell size during starvation of E. coli in artificial sea water. Lett Appl Microbiol 19, 374–376.[CrossRef]
    [Google Scholar]
  19. Vives-Rego, J., Lebaron, P. & Nebe-von Caron, G. ( 2000; ). Current and future applications of flow cytometry in aquatic microbiology. FEMS Microbiol Rev 24, 429–448.[CrossRef]
    [Google Scholar]
  20. Vives-Rego, J., Resina, O., Comas, J., Loren, G. & Julià, O. ( 2003; ). Statistical analysis and biological interpretation of the flow cytometric heterogeneity observed in bacterial axenic cultures. J Microbiol Methods 53, 43–50.[CrossRef]
    [Google Scholar]
  21. Wagensberg, J., López, D. & Valls, J. ( 1988; ). Statistical aspects of biological organization. J Phys Chem Solids 49, 695–700.[CrossRef]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/micro/10.1099/mic.0.27460-0
Loading
/content/journal/micro/10.1099/mic.0.27460-0
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error